I am having a logic issue in relation to querying an SQL database. I need to exclude 3 different categories and any item that is included in those categories; however, if an item under one of those categories meets the criteria for another category I need to keep said item.
This is an example output I will get after querying the database at its current version:
ExampleDB | item_num | pro_type | area | description
1 | 45KX-76Y | FLCM | Finished | coil8x
2 | 68WO-93H | FLCL | Similar | y45Kx
3 | 05RH-27N | FLDR | Finished | KH72n
4 | 84OH-95W | FLEP | Final | tar5x
5 | 81RS-67F | FLEP | Final | tar7x
6 | 48YU-40Q | FLCM | Final | bile6
7 | 19VB-89S | FLDR | Warranty | exp380
8 | 76CS-01U | FLCL | Gator | low5
9 | 28OC-08Z | FLCM | Redo | coil34Y
item_num and description are in a table together, and pro_type and area are in 2 separate tables--a total of 3 tables to pull data from.
I need to construct a query that will not pull back any item_num where area is equal to: Finished, Final, and Redo; but I also need to pull in any item_num that meets the type criteria: FLCM and FLEP. In the end my query should look like this:
ExampleDB | item_num | pro_type | area | description
1 | 45KX-76Y | FLCM | Finished | coil8x
2 | 68WO-93H | FLCL | Similar | y45Kx
3 | 84OH-95W | FLEP | Final | tar5x
4 | 81RS-67F | FLEP | Final | tar7x
5 | 19VB-89S | FLDR | Warranty | exp380
6 | 76CS-01U | FLCL | Gator | low5
7 | 28OC-08Z | FLCM | Redo | coil34Y
Try this:
select * from table
join...
where area not in('finished', 'final', 'redo') or type in('flcm', 'flep')
Are you looking for something like
SELECT *
FROM Table_1
JOIN Table_ProType ON Table_1.whatnot = Table_ProType.whatnot
JOIN Table_Area ON Table_1.whatnot = Table_Area.whatnot
WHERE Table.area NOT IN ('Finished','Final','Redo') OR ProType.pro_type IN ('FLCM','FLEP')
Giving the names of the three tables and the joining criteria will help me improve the answer.
Related
I am doing a Snowflake query where I get RANK from each column.
Output below:
| Rank_A | Rank B |
| -------- | -------- |
| 1 | 3 |
| 2 | 4 |
| 5 | 4 |
Then I do the LEAST function to get the Minimum across those columns
https://docs.snowflake.com/en/sql-reference/functions/least.html
Output below:
| Rank_A | Rank B | LEAST |
| -------- | -------- | -------- |
| 1 | 3 | 1 |
| 2 | 4 | 2 |
| 5 | 4 | 4 |
Lastly, (This is where I am not sure of) How can I make another column that returns what column the Least function came from - so what I am trying to return in this new column is like so:
Expected output below:
| Rank_A | Rank B | LEAST | Column Name of Least Value |
| -------- | -------- | -------- | -------------------------- |
| 1 | 3 | 1 | Rank_A |
| 2 | 4 | 2 | Rank_A |
| 5 | 4 | 4 | Rank_B |
I have no idea how I would go about this? any and all help would be greatly appreciated.
I do not know where to begin. I was contemplating doing this all in python before ingesting the data table?
You could use DECODE to get the first LEAST value column name:
SELECT *
,LEAST(Rank_A, Rank_B)
,DECODE(LEAST(Rank_A, Rank_B),
Rank_A, 'Rank_A',
Rank_B, 'Rank_B') AS column_name
FROM tab;
Output:
We can use a CASE expression along with the LEAST() function:
SELECT
RANK_A,
RANK_B,
LEAST(Rank_A, Rank_B) AS LEAST,
CASE WHEN RANK_A = LEAST(Rank_A, Rank_B)
THEN 'RANK_A' ELSE 'RANK_B' END AS LEAST_VALUE
FROM yourTable;
In the event that RANK_A and RANK_B have the same value, the above query would arbitrarily return RANK_A as the column with the least value.
What is the best way for storing enumerated fields with ability to change its order?
Lets say my database looks like this:
| Table |
|---------------------|
| id | name | order|
| 1 | 1st | 1 |
| 2 | 2nd | 2 |
| 3 | 3rd | 3 |
| 4 | 4th | 4 |
Now, when user change order in such a away
| Table |
|---------------------|
| id | name | order|
| 1 | 1st | 1 |
| 4 | 4nd | 2 |
| 2 | 2nd | 3 |
| 3 | 3rd | 4 |
Here I would have to update all rows in this table.
I consider 2 solutions
Solution 1)
When inserting row X between for example order 2 and order 3, I would change row's X order field to 3.5, So I would choose number in the middle between adjacent orders.
Above table would look like this
| Table |
|---------------------|
| id | name | order|
| 1 | 1st | 1 |
| 4 | 4nd | 2.5 |
| 2 | 2nd | 2 |
| 3 | 3rd | 3 |
Then, after for example 16 changes I would update table and normalize all order fields, so table after normalization would be like this:
| Table |
|---------------------|
| id | name | order|
| 1 | 1st | 1 |
| 4 | 4nd | 2 |
| 2 | 2nd | 3 |
| 3 | 3rd | 4 |
Solution 2)
I also consider adding fields "next" (or "next" and "prev") to each row, but it looks for me like waste of memory.
I really dont want to update whole table every time somebody change order. What is the best way of solving this problem?
I have a SQLite table, in which there are some Rows which differ in just one column.
I want to merge the entrys in this Column with a seperator (line break in my case).
So, this:
| id | block | description|
------------------------------
| 1 | a | foo |
| 1 | a | bar |
| 3 | b | cat |
| 4 | c | mouse |
------------------------------
Should become this:
| id | block | description|
------------------------------
| 1 | a | foo \r\n bar|
| 3 | b | cat |
| 4 | c | mouse |
------------------------------
I don't even have an Idea what to search for (instead of "merge", but I couldn't find anything suitable for my application), so any Input would be appreciated.
Jann
I think you are looking for group_concat():
select id, block, group_concat(description, ' \r\n ')
from t
group by id, block;
I was wondering if you can help me with the following problem in spss syntax.
My dataset has nested structure.
Data are nested in companies, then each company has 1 or 2 bosses, but in this case I care only about boss 1. At a previous stage in time the boss graded the workers (not all of them). Now, the ID and the grade of the workers is on the row each worker.
I would like to move the information that was obtained during worker's assessment and create new sets of variables for each (worker ID and grade) on the line/row of the boss.
+---------+------+--------+--------------+---------+---------+--------+---------+
| company | boss |workerID|worker's grade|N:workID1|N:grade1 |N:work2 |N:grade2 |
+---------+------+--------+--------------+---------+---------+--------+---------+
| A | 1 | 1 | | 3 | A | 4 | A |
| A | 2 | 2 | | | |
| A | 0 | 3 | A | | |
| A | 0 | 4 | A | | |
| A | 0 | 5 | | | |
| B | 1 | 1 | | 3 | B | 4 | A |
| B | 0 | 2 | | | |
| B | 0 | 3 | B | | |
| B | 0 | 4 | A | | |
| C | 1 | 1 | | 2 | D | -1 | -1 |
| C | 0 | 2 | D | | |
I would like to move the worker's id and the grade that to the row of the boss in the NEW variables, without loosing the existing variables on workerID and worker's grade.
Basically, I will need to feed forward the information into the new variables and to the row of boss EQ 1 separately for each company.
I have no idea how to proceed with this. I assume that I need a loop that creates new variable for each worker ID that has a valid grade and then feeds forward the information from the worker's row to the boss' newly generated variables.
Any suggestions are very wellcome :-)
Take a look at VARSTOCASES (Data > Restructure)
We are working on an application where millions of users will be entering information at the same time. Suppose the application allows people to rate geographic regions on where they would like to live. Each participant is allowed to rate each region using a decimal value from 0-10. Each person belongs to one or more groups based upon attributes such as gender, and people that consider themselves active, or enjoy culture.
Every time a rating is made, we need to have a view which shows us the average rating for each region/group. I'm aware that most DB's have an "average" function, but for our purposes we need to be able to use our own function as we may use a the geometric mean instead of the arithmetic mean.
Below are some tables which might be used. Note: I did not include the relationship table PeopleGroups which map which groups a person is a member of for brevity purposes.
Regions People Groups RegionScoresByPerson
+-----+------------+ +-----+-------+ +-----+----------+ +-----+-----+-------+
| RID | NAME | | PID | Name | | GID | Name | | RID | PID | Score |
+-----+------------+ +-----+-------+ +-----+----------+ +-----+-----+-------+
| 1 | Flordia | | P1 | Alice | | G0 | Everyone | | 1 | P1 | 6 |
| 2 | California | | P2 | Bob | | G1 | Women | | 1 | P2 | 8 |
+-----+------------+ | P3 | Frank | | G2 | Men | | 1 | P3 | 3 |
| P4 | Mary | | G3 | Active | | 1 | P4 | 2 |
+-----+-------+ | G4 | Culture | | 1 | P1 | 7 |
+-----+----------+ | 1 | P2 | 5 |
| 1 | P3 | 8 |
| 1 | P4 | 2 |
+-----+-----+-------+
Our current implementation uses a similar set of tables for storing ratings, but we don't calculate averages real-time. Anytime we need the results (e.g. show me the average score California for women), we have to pull all the information into memory and run the calculations manually.
I was wondering how I leverage database technologies such as views, triggers, stored procedures, etc. to present to me a simple table that will allow me to get scores by for people and groups so we don't have to manually run calculations.
I would like some table like the following, where everything is handled by the DB. Any insert,update,delete actions on the RegionScoresByPerson or Groups tables would automatically be reflected in this table. If it is not apparent, the rows marked with * calculated rows. In this case I'm using a simple arithmetic average, but I the design should allow for any type of function.
EID stands for entity ID (a person or group)
Besides deciding how to build such a view, I'm unsure of what sort of datatypes to use (and index) for People and Groups. I suppose I'd like the index to be integers, but that would prevent me from creating the table below because I couldn't distinguish between Person 1 and Group 1 -- Would having ID's such as P1 and G1 be a performance hit? I'm obviously concerned about the design being scalable.
ScoreView
+-----------+-----+-------+
| RID | EID | Score |
| 1 | P1 | 6 |
| 1 | P2 | 8 |
| 1 | P3 | 3 |
| 1 | P4 | 2 |
| 1 | P1 | 7 |
| 1 | P2 | 5 |
| 1 | P3 | 8 |
| 1 | P4 | 2 |
| 1 | G0 | 4.75 |*
| 1 | G1 | 4 |*
| 1 | G2 | … |*
| 1 | G3 | … |*
+-----------+-----+-------+
Apache Flume is the open source tool designed to solve this kind of problem. Also have a look at Google Cloud Dataflow.
https://flume.apache.org/